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Robust Modeling Framework for Principal Fitted Component Poisson Regression: Addressing Ill-Conditioned Features and Anomalies.

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Title: Robust Modeling Framework for Principal Fitted Component Poisson Regression: Addressing Ill-Conditioned Features and Anomalies.
Authors: Tahir, Aiman1 (AUTHOR) 3520254980368@pu.edu.pk, Ilyas, Maryam1 (AUTHOR) maryam.stat@pu.edu.pk
Source: Journal of Statistical Theory & Applications. Dec2025, Vol. 24 Issue 4, p796-825. 30p.
Database: Mathematics Source
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  Data: Robust Modeling Framework for Principal Fitted Component Poisson Regression: Addressing Ill-Conditioned Features and Anomalies.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Statistical+Theory+%26+Applications%22">Journal of Statistical Theory & Applications</searchLink>. Dec2025, Vol. 24 Issue 4, p796-825. 30p.
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        Value: 10.1007/s44199-025-00123-0
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      – Code: eng
        Text: English
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        PageCount: 30
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      – TitleFull: Robust Modeling Framework for Principal Fitted Component Poisson Regression: Addressing Ill-Conditioned Features and Anomalies.
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            NameFull: Tahir, Aiman
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              Text: Dec2025
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              Y: 2025
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